{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7ce5a547-94a3-45b9-9042-03cafa83b2e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost库已成功导入\n",
      "数据读取成功！\n",
      "数据形状: (1000, 6)\n",
      "\n",
      "数据前5行:\n",
      "   换设备次数  支付失败次数  换IP次数  换IP国次数   交易金额  欺诈标签\n",
      "0      0      11      3       5  28836     1\n",
      "1      5       6      1       4  21966     1\n",
      "2      6       2      0       0  18199     1\n",
      "3      5       8      2       2  24803     1\n",
      "4      7      10      5       0  26277     1\n",
      "\n",
      "特征变量形状: (1000, 5)\n",
      "目标变量分布:\n",
      "欺诈标签\n",
      "0    600\n",
      "1    400\n",
      "Name: count, dtype: int64\n",
      "\n",
      "训练集大小: (800, 5)\n",
      "测试集大小: (200, 5)\n",
      "\n",
      "=== 模型评估结果 ===\n",
      "测试集准确率: 0.8450\n",
      "测试集AUC: 0.8285\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, roc_curve\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 检查并安装xgboost\n",
    "try:\n",
    "    import xgboost as xgb\n",
    "    print(\"XGBoost库已成功导入\")\n",
    "except ImportError:\n",
    "    print(\"正在安装XGBoost库...\")\n",
    "    import sys\n",
    "    import subprocess\n",
    "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"xgboost\"])\n",
    "    import xgboost as xgb\n",
    "    print(\"XGBoost库安装完成并成功导入\")\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "plt.rcParams['axes.unicode_minus'] = False  \n",
    "\n",
    "# 1. 读取数据\n",
    "try:\n",
    "    df = pd.read_excel(r'D:\\商业数据分析案例\\第十章\\信用卡交易数据.xlsx')\n",
    "    print(\"数据读取成功！\")\n",
    "    print(f\"数据形状: {df.shape}\")\n",
    "    print(\"\\n数据前5行:\")\n",
    "    print(df.head())\n",
    "except FileNotFoundError:\n",
    "    print(\"文件未找到，请检查文件路径\")\n",
    "    # 创建示例数据用于演示\n",
    "    print(\"创建示例数据用于演示...\")\n",
    "    np.random.seed(42)\n",
    "    n_samples = 1000\n",
    "    df = pd.DataFrame({\n",
    "        '换设备次数': np.random.randint(0, 8, n_samples),\n",
    "        '支付失败次数': np.random.randint(0, 13, n_samples),\n",
    "        '换IP次数': np.random.randint(0, 11, n_samples),\n",
    "        '换IP国次数': np.random.randint(0, 6, n_samples),\n",
    "        '交易金额': np.random.randint(10000, 30000, n_samples),\n",
    "        '欺诈标签': np.random.choice([0, 1], n_samples, p=[0.6, 0.4])\n",
    "    })\n",
    "\n",
    "# 2. 提取特征和目标变量\n",
    "X = df[['换设备次数', '支付失败次数', '换IP次数', '换IP国次数', '交易金额']]\n",
    "y = df['欺诈标签']\n",
    "\n",
    "print(f\"\\n特征变量形状: {X.shape}\")\n",
    "print(f\"目标变量分布:\\n{y.value_counts()}\")\n",
    "\n",
    "# 3. 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "\n",
    "print(f\"\\n训练集大小: {X_train.shape}\")\n",
    "print(f\"测试集大小: {X_test.shape}\")\n",
    "\n",
    "# 4. 模型训练\n",
    "model = xgb.XGBClassifier(\n",
    "    random_state=42,\n",
    "    eval_metric='logloss'\n",
    ")\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# 5. 模型预测\n",
    "y_pred = model.predict(X_test)\n",
    "y_pred_proba = model.predict_proba(X_test)[:, 1]\n",
    "\n",
    "# 6. 模型评估\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "auc = roc_auc_score(y_test, y_pred_proba)\n",
    "\n",
    "print(f\"\\n=== 模型评估结果 ===\")\n",
    "print(f\"测试集准确率: {accuracy:.4f}\")\n",
    "print(f\"测试集AUC: {auc:.4f}\")\n",
    "\n",
    "# 7. 绘制ROC曲线\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_pred_proba)\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(fpr, tpr, color='blue', linewidth=2, label=f'XGBoost (AUC = {auc:.3f})')\n",
    "plt.plot([0, 1], [0, 1], 'k--', linewidth=1)\n",
    "plt.xlabel('假正率 (False Positive Rate)', fontsize=12)\n",
    "plt.ylabel('真正率 (True Positive Rate)', fontsize=12)\n",
    "plt.title('ROC曲线 - 金融反欺诈模型', fontsize=14)\n",
    "plt.legend(loc='lower right')\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f8202973-71a7-4ba8-9b3f-09ff197cfcb4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信用评分数据读取成功！\n",
      "数据形状: (1000, 6)\n",
      "\n",
      "数据前5行:\n",
      "    月收入  年龄  性别  历史授信额度  历史违约次数  信用评分\n",
      "0  7783  29   0   32274       3    73\n",
      "1  7836  40   1    6681       4    72\n",
      "2  6398  25   0   26038       2    74\n",
      "3  6483  23   1   24584       4    65\n",
      "4  5167  23   1    6710       3    73\n",
      "\n",
      "数据基本信息:\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 6 columns):\n",
      " #   Column  Non-Null Count  Dtype\n",
      "---  ------  --------------  -----\n",
      " 0   月收入     1000 non-null   int64\n",
      " 1   年龄      1000 non-null   int64\n",
      " 2   性别      1000 non-null   int64\n",
      " 3   历史授信额度  1000 non-null   int64\n",
      " 4   历史违约次数  1000 non-null   int64\n",
      " 5   信用评分    1000 non-null   int64\n",
      "dtypes: int64(6)\n",
      "memory usage: 47.0 KB\n",
      "None\n",
      "\n",
      "目标变量统计:\n",
      "count    1000.000000\n",
      "mean       79.558000\n",
      "std         7.749754\n",
      "min        60.000000\n",
      "25%        74.000000\n",
      "50%        81.000000\n",
      "75%        86.000000\n",
      "max        90.000000\n",
      "Name: 信用评分, dtype: float64\n",
      "\n",
      "训练集大小: (800, 5)\n",
      "测试集大小: (200, 5)\n",
      "\n",
      "=== 模型评估结果 ===\n",
      "测试集 R² Score: 0.6268\n",
      "测试集 RMSE: 5.0651\n",
      "测试集 MAE: 3.9980\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 检查并安装xgboost（如果第一个案例已安装，这里可以省略）\n",
    "try:\n",
    "    import xgboost as xgb\n",
    "except ImportError:\n",
    "    import sys\n",
    "    import subprocess\n",
    "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"xgboost\"])\n",
    "    import xgboost as xgb\n",
    "\n",
    "# 1. 读取数据\n",
    "try:\n",
    "    df = pd.read_excel(r'D:\\商业数据分析案例\\第十章\\信用评分卡模型.xlsx')\n",
    "    print(\"信用评分数据读取成功！\")\n",
    "    print(f\"数据形状: {df.shape}\")\n",
    "    print(\"\\n数据前5行:\")\n",
    "    print(df.head())\n",
    "except FileNotFoundError:\n",
    "    print(\"文件未找到，创建示例数据...\")\n",
    "    np.random.seed(42)\n",
    "    n_samples = 1000\n",
    "    df = pd.DataFrame({\n",
    "        '月收入': np.random.randint(5000, 15000, n_samples),\n",
    "        '年龄': np.random.randint(20, 60, n_samples),\n",
    "        '性别': np.random.choice([0, 1], n_samples),\n",
    "        '历史授信额度': np.random.randint(5000, 40000, n_samples),\n",
    "        '历史违约次数': np.random.randint(0, 6, n_samples),\n",
    "        '信用评分': np.random.randint(60, 90, n_samples)\n",
    "    })\n",
    "\n",
    "# 2. 数据基本信息\n",
    "print(f\"\\n数据基本信息:\")\n",
    "print(df.info())\n",
    "print(f\"\\n目标变量统计:\")\n",
    "print(df['信用评分'].describe())\n",
    "\n",
    "# 3. 提取特征和目标变量\n",
    "X = df[['月收入', '年龄', '性别', '历史授信额度', '历史违约次数']]\n",
    "y = df['信用评分']\n",
    "\n",
    "# 4. 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "print(f\"\\n训练集大小: {X_train.shape}\")\n",
    "print(f\"测试集大小: {X_test.shape}\")\n",
    "\n",
    "# 5. 模型训练\n",
    "model = xgb.XGBRegressor(\n",
    "    random_state=42,\n",
    "    n_estimators=100,\n",
    "    learning_rate=0.1,\n",
    "    max_depth=6\n",
    ")\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# 6. 模型预测\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# 7. 模型评估\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "rmse = np.sqrt(mean_squared_error(y_test, y_pred))\n",
    "mae = mean_absolute_error(y_test, y_pred)\n",
    "\n",
    "print(f\"\\n=== 模型评估结果 ===\")\n",
    "print(f\"测试集 R² Score: {r2:.4f}\")\n",
    "print(f\"测试集 RMSE: {rmse:.4f}\")\n",
    "print(f\"测试集 MAE: {mae:.4f}\")\n",
    "\n",
    "# 8. 预测值与真实值对比可视化\n",
    "plt.figure(figsize=(12, 5))\n",
    "\n",
    "# 子图1：散点图\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.scatter(y_test, y_pred, alpha=0.6, color='blue')\n",
    "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'r--', lw=2)\n",
    "plt.xlabel('实际信用评分', fontsize=12)\n",
    "plt.ylabel('预测信用评分', fontsize=12)\n",
    "plt.title('XGBoost回归模型：预测值 vs 实际值', fontsize=14)\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "# 子图2：残差图\n",
    "plt.subplot(1, 2, 2)\n",
    "residuals = y_test - y_pred\n",
    "plt.scatter(y_pred, residuals, alpha=0.6, color='green')\n",
    "plt.axhline(y=0, color='red', linestyle='--')\n",
    "plt.xlabel('预测值', fontsize=12)\n",
    "plt.ylabel('残差', fontsize=12)\n",
    "plt.title('残差分析图', fontsize=14)\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "823d4404-8e98-42c0-adba-3dfe99c5444a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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